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Volumn 27, Issue 2, 2006, Pages 114-128

Hypothesis testing in distributed source models for EEG and MEG data

Author keywords

Brain imaging; Inverse problem; Linear inverse; Minimum norm; Statistical map

Indexed keywords

ARTICLE; BRAIN; DATA ANALYSIS; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HYPOTHESIS; LINEAR SYSTEM; MAGNETOENCEPHALOGRAPHY; MODEL; NEUROIMAGING; OPTICAL RESOLUTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL PARAMETRIC MAP;

EID: 32544433478     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20170     Document Type: Article
Times cited : (4)

References (35)
  • 2
    • 0036848142 scopus 로고    scopus 로고
    • Selective attention to spatial frequency: An ERP and source localization analysis
    • Baas J, Kenemans J, Mangun G (2002): Selective attention to spatial frequency: an ERP and source localization analysis. Clin Neurophysiol 113:1840-1854.
    • (2002) Clin Neurophysiol , vol.113 , pp. 1840-1854
    • Baas, J.1    Kenemans, J.2    Mangun, G.3
  • 3
    • 0030967177 scopus 로고    scopus 로고
    • A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem
    • Baillet S, Garnero L (1997): A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem. IEEE Trans Biomed Eng 44:374-385.
    • (1997) IEEE Trans Biomed Eng , vol.44 , pp. 374-385
    • Baillet, S.1    Garnero, L.2
  • 4
    • 0037213066 scopus 로고    scopus 로고
    • Statistical flattening of MEG beam-former images
    • Barnes G, Hillebrand A (2003): Statistical flattening of MEG beam-former images. Hum Brain Mapp 18:1-12.
    • (2003) Hum Brain Mapp , vol.18 , pp. 1-12
    • Barnes, G.1    Hillebrand, A.2
  • 8
    • 0033711992 scopus 로고    scopus 로고
    • Dynamic statistical parametric mapping: Combining fMRI and MEG for high resolution imaging of cortical activity
    • Dale A, Liu A, Fischi B, Buckner R, Belliveau J, Lewine J, Halgren E (2000): Dynamic statistical parametric mapping: combining fMRI and MEG for high resolution imaging of cortical activity. Neuron 26:55-67.
    • (2000) Neuron , vol.26 , pp. 55-67
    • Dale, A.1    Liu, A.2    Fischi, B.3    Buckner, R.4    Belliveau, J.5    Lewine, J.6    Halgren, E.7
  • 9
    • 0027230029 scopus 로고
    • Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach
    • Dale A, Sereno M (1993): Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J Cogn Neurosci 162-176.
    • (1993) J Cogn Neurosci , pp. 162-176
    • Dale, A.1    Sereno, M.2
  • 11
    • 0033882271 scopus 로고    scopus 로고
    • Estimating dipole responses in unknown spatially correlated noise with EEG/MEG arrays
    • Dogandžić A, Nehorai A (2000): Estimating dipole responses in unknown spatially correlated noise with EEG/MEG arrays. IEEE Trans Signal Process 48:13-25.
    • (2000) IEEE Trans Signal Process , vol.48 , pp. 13-25
    • Dogandžić, A.1    Nehorai, A.2
  • 14
    • 0032054472 scopus 로고    scopus 로고
    • A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem
    • Grave de Peralta Menendez R, Gonzalez Andino S (1998): A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem. IEEE Trans Biomed Eng 45:440-448.
    • (1998) IEEE Trans Biomed Eng , vol.45 , pp. 440-448
    • Grave De Peralta Menendez, R.1    Gonzalez Andino, S.2
  • 15
    • 4143108919 scopus 로고    scopus 로고
    • Improving the performance of linear inverse solutions by inverting the resolution matrix
    • Grave de Peralta Menendez R, Murray M, Gonzalez Andino S (2004a): Improving the performance of linear inverse solutions by inverting the resolution matrix. IEEE Trans Biomed Eng 51:1680-1683.
    • (2004) IEEE Trans Biomed Eng , vol.51 , pp. 1680-1683
    • Grave De Peralta Menendez, R.1    Murray, M.2    Gonzalez Andino, S.3
  • 17
    • 26244462082 scopus 로고
    • Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain
    • Hämäläinen M, Hari R, Ilmoniemi R, Knuutila J, Lounasmaa O (1993): Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65:413-497.
    • (1993) Rev Mod Phys , vol.65 , pp. 413-497
    • Hämäläinen, M.1    Hari, R.2    Ilmoniemi, R.3    Knuutila, J.4    Lounasmaa, O.5
  • 18
    • 0000570697 scopus 로고
    • Analysis of discrete ill-posed problems by means of the L-Curve
    • Hansen P (1992): Analysis of discrete ill-posed problems by means of the L-Curve. SIAM Rev 34:561-580.
    • (1992) SIAM Rev , vol.34 , pp. 561-580
    • Hansen, P.1
  • 19
    • 0034214074 scopus 로고    scopus 로고
    • On the processing of spatial frequencies as revealed by evoked-potential source modeling
    • Kenemans J, Baas J, Mangun G, Lijffijt M, Verbaten M (2000): On the processing of spatial frequencies as revealed by evoked-potential source modeling. Clin Neurophysiol 111:1113-1123.
    • (2000) Clin Neurophysiol , vol.111 , pp. 1113-1123
    • Kenemans, J.1    Baas, J.2    Mangun, G.3    Lijffijt, M.4    Verbaten, M.5
  • 20
    • 2942558563 scopus 로고    scopus 로고
    • Statistical parametric mapping for event-related potentials. I. Generic considerations
    • Kiebel S, Friston K (2004a): Statistical parametric mapping for event-related potentials. I. Generic considerations. Neuroimage 22: 492-502.
    • (2004) Neuroimage , vol.22 , pp. 492-502
    • Kiebel, S.1    Friston, K.2
  • 21
    • 2942586807 scopus 로고    scopus 로고
    • Statistical parametric mapping for event-related potentials. II. A hierarchical temporal model
    • Kiebel S, Friston K (2004b): Statistical parametric mapping for event-related potentials. II. A hierarchical temporal model. Neuroimage 22:503-520.
    • (2004) Neuroimage , vol.22 , pp. 503-520
    • Kiebel, S.1    Friston, K.2
  • 22
    • 0036234556 scopus 로고    scopus 로고
    • Monte Carlo simulation studies of EEG and MEG localization accuracy
    • Liu A, Dale A, Belliveau J (2002): Monte Carlo simulation studies of EEG and MEG localization accuracy. Hum Brain Mapp 16:47-62.
    • (2002) Hum Brain Mapp , vol.16 , pp. 47-62
    • Liu, A.1    Dale, A.2    Belliveau, J.3
  • 25
    • 0026882264 scopus 로고
    • Multiple dipole modeling and localization from spatio-temporal meg data
    • Mosher J, Lewis P, Leahy R (1992): Multiple dipole modeling and localization from spatio-temporal meg data. IEEE Trans Biomed Eng 39:541-557.
    • (1992) IEEE Trans Biomed Eng , vol.39 , pp. 541-557
    • Mosher, J.1    Lewis, P.2    Leahy, R.3
  • 27
    • 0027998259 scopus 로고
    • Low resolution electromagnetic tomography: A new method for localizing electrical activity in the brain
    • Pascual-Marqui R, Michel C, Lehmann D (1994): Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol 18:49-65.
    • (1994) Int J Psychophysiol , vol.18 , pp. 49-65
    • Pascual-Marqui, R.1    Michel, C.2    Lehmann, D.3
  • 28
    • 0031150148 scopus 로고    scopus 로고
    • MEG-based imaging of focal neuronal current sources
    • Phillips J, Leahy R, Mosher J (1997): MEG-based imaging of focal neuronal current sources. IEEE Trans Med Imaging 16:338-348.
    • (1997) IEEE Trans Med Imaging , vol.16 , pp. 338-348
    • Phillips, J.1    Leahy, R.2    Mosher, J.3
  • 29
    • 0036338394 scopus 로고    scopus 로고
    • Anatomically informed basis functions for eeg source localization: Combining functional and anatomical constraints
    • Phillips G, Rugg M, Friston K (2002): Anatomically informed basis functions for eeg source localization: combining functional and anatomical constraints. Neuroimage 16:678-695.
    • (2002) Neuroimage , vol.16 , pp. 678-695
    • Phillips, G.1    Rugg, M.2    Friston, K.3
  • 34
    • 0142035448 scopus 로고    scopus 로고
    • Statistical analysis of activation images
    • Jezzard, Matthews, Smith, editors. New York: John Wiley & Sons
    • Worsley K (2001): Statistical analysis of activation images. In: Jezzard, Matthews, Smith, editors. Functional magnetic resonance imaging: an introduction. New York: John Wiley & Sons, p 251-270.
    • (2001) Functional Magnetic Resonance Imaging: An Introduction , pp. 251-270
    • Worsley, K.1
  • 35
    • 21444449622 scopus 로고    scopus 로고
    • A generalized approximate cross validation for smoothing splines with non-Gaussian data
    • Xiang D, Wahba G (1996): A generalized approximate cross validation for smoothing splines with non-Gaussian data. Stat Sin 6:675-692.
    • (1996) Stat Sin , vol.6 , pp. 675-692
    • Xiang, D.1    Wahba, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.